Gpt2 Medium Vaguely Human Dialogue by pszemraj

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Gpt2 Medium Vaguely Human Dialogue is an open-source language model by pszemraj. Features: 380m LLM, VRAM: 1.4GB, License: mit, LLM Explorer Score: 0.

  Autotrain compatible   En   Endpoints compatible   Gpt   Gpt2   Pytorch   Region:us   Safetensors

Gpt2 Medium Vaguely Human Dialogue Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Medium Vaguely Human Dialogue (pszemraj/gpt2-medium-vaguely-human-dialogue)
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Gpt2 Medium Vaguely Human Dialogue Parameters and Internals

LLM NameGpt2 Medium Vaguely Human Dialogue
Repository ๐Ÿค—https://huggingface.co/pszemraj/gpt2-medium-vaguely-human-dialogue 
Model Size380m
Required VRAM1.4 GB
Updated2025-09-23
Maintainerpszemraj
Model Typegpt2
Model Files  1.4 GB   1.4 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.16.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/gpt2-medium-vaguely-human-dialogue.

Rank the Gpt2 Medium Vaguely Human Dialogue Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a